What is
Teradata
?
Teradata provides VantageCloud, a hybrid cloud platform for enterprise-scale data analytics and AI that enables organizations to unify data, activate analytics, and accelerate innovation. The platform offers trusted data and AI capabilities with elastic cloud-native technology that supports multiple cloud providers including AWS, Azure, and Google Cloud. With integrated AI and machine learning capabilities, Teradata serves business leaders, data scientists, and analytics teams who need to deliver harmonized data and faster innovation. The platform uses a consumption-based pricing model and focuses on reducing time to value while supporting comprehensive AI/ML innovation across enterprise environments.
- Hybrid cloud analytics platform
- Unified data management across environments
- Integrated AI and ML capabilities
- Elastic cloud-native technology
- Multi-cloud support (AWS, Azure, GCP)
- Data harmonization and integration
- Advanced analytics and visualization
- Enterprise security and governance
- Consumption-based pricing: Pay for what you use
- Enterprise solutions: Custom pricing available
- Contact for detailed pricing information
- Established enterprise data platform with proven track record
- Multi-cloud flexibility for vendor independence
- Comprehensive analytics capabilities
- Strong partner ecosystem with major cloud providers
- Enterprise-grade security and compliance
- Consumption-based pricing for cost optimization
- Established enterprise data platform with proven track record
- Multi-cloud flexibility for vendor independence
- Comprehensive analytics capabilities
- Strong partner ecosystem with major cloud providers
- Enterprise-grade security and compliance
- Consumption-based pricing for cost optimization
- Large enterprises with complex data needs
- Data scientists and analytics teams
- Business leaders requiring data-driven insights
- IT leaders managing enterprise data infrastructure
- Financial services and regulated industries
- Organizations with multi-cloud strategies
- Enterprise data analytics and business intelligence
- AI and machine learning model development
- Data warehousing and integration
- Multi-cloud data management
- Advanced analytics and reporting
- Data governance and compliance
- AWS partnership and integration
- Microsoft Azure support
- Google Cloud Platform compatibility
- Enterprise-grade security and compliance
- Data governance and privacy controls
- Multi-cloud security management
- Implementation typically takes 3-6 months for basic enterprise deployment, with 6-12 months for full multi-cloud integration including data migration and team training.
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